Systems, devices, and methods for predicting total knee arthroplasty, partial knee arthroplasty, and other medical procedures

A machine learning-based system predicts surgical procedures by analyzing patient data and imaging, addressing the inefficiencies in existing joint replacement surgery data processing, thereby improving surgical planning and outcomes.

AU2025210960A1Pending Publication Date: 2026-07-16MAKO SURGICAL CORP
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Patent Information

Authority / Receiving Office
AU · AU
Patent Type
Applications
Current Assignee / Owner
MAKO SURGICAL CORP
Filing Date
2025-01-21
Publication Date
2026-07-16

AI Technical Summary

Technical Problem

Existing medical procedures for joint replacement surgeries lack efficient systems and methods for processing and analyzing image acquisition data to optimize surgical outcomes.

Method used

A system and method utilizing a machine learning model to predict the type of surgery required for a patient by analyzing imaging data and patient data, including B-scores and C-scores, and generating a predicted procedure through a graphical user interface.

Benefits of technology

Enhances the accuracy of predicting surgical procedures such as partial or total knee arthroplasty by leveraging machine learning to analyze patient anatomy and data, allowing for improved surgical planning and outcomes.

✦ Generated by Eureka AI based on patent content.

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Abstract

A method for predicting a type of surgery required for a patient comprises: receiving imaging data including at least one image acquired of a patient's anatomy; determining at least one parameter of the patient's anatomy based on the image data, the at least one parameter including at least one of a B-score and a C-score; receiving patient data regarding the patient; generating, based at least in part on the at least one parameter and the patient data, a predicted procedure for the patient; and outputting the predicted procedure for display within a graphical user interface (GUI).
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